Market data quality oversight
Risk and valuation teams cannot trace unexpected results to stale or inconsistent market inputs.
The challenge behind the workflow.
Risk and valuation teams cannot trace unexpected results to stale or inconsistent market inputs.
Connect trades, positions, prices, reference data, and client reporting with consistent timestamps and definitions. Help operations, risk, and finance review discrepancies using reproducible analytical inputs and explicit approval boundaries.
Data to bring together
- Price observations
- Instrument reference data
- Provider timestamps
Source systems are examples of the data required. Confirm connector availability, permitted access, refresh timing, and the authoritative owner before implementation.
How Genedata supports the work.
Configure one connected workflow, then reuse its mappings, definitions, and review process as the business grows.
- 01
Connect and prepare
Normalize instrument mappings and preserve price type, source, and observation time.
Build the preparation as a reusable visual workflow or reviewed code, with explicit source mappings and validation checks. - 02
Investigate and validate
Identify missing prices, stale records, and inconsistent reference values.
Keep shared definitions and source versions with the analysis so another team can reproduce the result. - 03
Publish and review
Publish a quality queue and versioned data inputs for approved analysis.
Make the output available to the right people with appropriate access, ownership, and review evidence.
A market data quality workspace
Make the next run easier.
Shared validation checks reduce duplicated price cleanup across teams.
Start from one approved example. Save the agreed mappings and definitions, publish the reviewed output, and let the next team follow the same evidence instead of rebuilding the preparation.
Measure your own improvement
Unresolved market input quality exceptions
Record a baseline before the pilot and compare like-for-like work afterward. Results depend on source quality, configuration, and adoption.Review and responsibility
Valuation specialists approve price selection and override policies.
AI with professional judgment.
Use AI to explain data differences and draft investigation notes. Investment, valuation, trade, and compliance decisions remain with authorized professionals.
Try the workflow with your team.
Use representative, approved sample data. Agree the expected output and a review owner before extending the workflow to a live process.